Digital Engineering Working Group

Harnessing Digital Twin Innovation to Shape the Future of Digital Engineering

The Digital Engineering Working Group drives industry innovation and best practices by developing frameworks, guidelines, and methodologies to enhance digital twin strategies and outcomes.

The initial work product includes a Digital Twin Maturity Assessment Framework built on the Digital Twin Capabilities Periodic Table and Platform Stack Reference Architecture. The framework aligns with Technology Readiness Levels and digital twin lifecycle phases. It incorporates Generative AI, leveraging a multi-agent system approach.

By leveraging the primary attributes of DE, including model-based development and digital thread, integrated with advancements in AI and multi-agent systems, the working group aims to develop work products that allow organizations to evaluate, benchmark, and advance their digital twin capabilities across the digital twin lifecycle.

Four Focus Areas of The Digital Engineering Working Group

DE Throughout the Digital Twin Lifecycle

Digital Twin Lifecycle

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Digital Twin Maturity Assessment Framework

Maturity Assessment Framework

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Digital Thread & Digital Twin Differentiation

Digital Thread & Digital Twin Differentiation

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Generative AI for DE Best Practices & Methodologies

Generative AI Towards Advancing Digital Engineering Best Practices & Methodologies

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The Capabilities & Technology WG and its sub-groups were incorporated into Digital Engineering Working Group.

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